The article analyzes the lessons of emergency situations of 2019 and the lessons of past years.

The article deals with the issues related to the accumulated environmental damage that was formed on the territory of Russia during the Soviet era and after the collapse of the USSR, the decision on the elimination of which is only being planned at the present time. This damage is due to the lack of attention on the part of the state and enterprises of various sectors of the national economy to environmental problems for decades.

The article discusses issues related to the main problems of the modern healthcare system in Russia, the state of health of the population and medical personnel, as well as the impact of the coronavirus on the country’s healthcare.

The aim of the research is to evaluate various ways to counter precision weapons to improve the resilience of organizations needed for population survival in modern military conflicts. Research objectives: assessing the characteristics of high-precision weapons used in modern military conflicts, analyzing the possibility of using various methods of countering high-precision weapons to increase the stability of organizations necessary for population survival. Possible directions of using these methods are proposed, based on both active and passive counteraction to high-precision weapons. The materials of the article were prepared on the basis of studying open sources

With the dramatic increase in the role of mine blast obstacles in modern armed conflicts, mine  blast reconnaissance is one of the most important tasks of engineering troops to ensure the successful execution of their combat tasks by military units. However, in situations where the enemy  is trying to conceal their intentions, engineering reconnaissance tasks are almost always carried  out under conditions of uncertainty. In these cases the research methods that allow modeling the  process of reconnaissance of mine blast obstacles in a stochastic formulation come to the fore. The  article presents the procedure of stochastic modeling of minefield section reconnaissance on the  basis of statistical functions describing temporal character of consecutive actions of engineering-intelligence group. The output of the stochastic model is a distribution function in the form of the  time required by an engineering reconnaissance team to conduct minefield reconnaissance. Based  on the risk-based approach and the stochastic model, the influence of factors and conditions on  the time of reconnaissance by an engineering reconnaissance team was investigated and their  ranking was performed. Given that the factors that determine the time of follow-up survey of  detected mines and processing of false signals are characterized by a high influence, it is proposed  one of the ways to improve mine detection means, consisting in combining with a mine detector additional channel that allows you to determine the presence of an explosive substance in its  chemical image in the form of vapor characteristic of its components in the air. The conclusion is  made about the necessity of implementing a risk-oriented approach in the scientific and practical  activities of engineering troops.

The article contains a brief analysis of the level of debt burden of the population of the Russian  Federation, a review of the main methods of regulatory authorities to stabilize this indicator, as  well as the place occupied by the Russian Federation in the world. The work also carried out a  more in-depth analysis of statistical data from the Central Bank of Russia, characterizing the state  and dynamics of this lending market for the period 2012–2022 on examples of subjects of the  Volga Federal District. Based on the data obtained, conclusions were drawn about the nature of  the development of the personal lending market in the Russian Federation.